[R] values from a linear model

[ONKELINX, Thierry]

It's not very clear to me but I think summary(mod)$coef[, "Std. Error"]
is wat you need?

Cheers,

Thierry

------------------------------------------------------------------------
----
ir. Thierry Onkelinx
Instituut voor natuur- en bosonderzoek / Research Institute for Nature
and Forest
Cel biometrie, methodologie en kwaliteitszorg / Section biometrics,
methodology and quality assurance
Gaverstraat 4
9500 Geraardsbergen
Belgium
tel. + 32 54/436 185
Thierry.Onkelinx op inbo.be
www.inbo.be 

Do not put your faith in what statistics say until you have carefully
considered what they do not say.  ~William W. Watt
A statistical analysis, properly conducted, is a delicate dissection of
uncertainties, a surgery of suppositions. ~M.J.Moroney

 

> -----Oorspronkelijk bericht-----
> Van: r-help-bounces op stat.math.ethz.ch 
> [mailto:r-help-bounces op stat.math.ethz.ch] Namens Manuele Pesenti
> Verzonden: dinsdag 24 juli 2007 12:03
> Aan: r-help op stat.math.ethz.ch
> Onderwerp: [R] values from a linear model
> 
> Dear R users,
> how can I extrapolate values listed in the summary of an lm 
> model but not directly available between object values such 
> as the the standard errors of the calculated parameters?
> 
> for example I got a model:
> 
> mod <- lm(Crd ~ 1 + Week, data=data)
> 
> and its summary:
> 
> > summary(mod)
> 
> Call:
> lm(formula = Crd ~ 1 + Week, data = data, model = TRUE, y = TRUE)
> 
> Residuals:
>        Min         1Q     Median         3Q        Max 
> -4.299e-03 -1.653e-03  2.628e-05  1.291e-03  5.130e-03 
> 
> Coefficients:
>              Estimate Std. Error  t value Pr(>|t|)    
> (Intercept) 1.000e+01  3.962e-04 25238.73   <2e-16 ***
> Week        5.038e-04  6.812e-06    73.96   <2e-16 ***
> ---
> Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 
> 
> Residual standard error: 0.001966 on 98 degrees of freedom
> Multiple R-Squared: 0.9824,     Adjusted R-squared: 0.9822 
> F-statistic:  5469 on 1 and 98 DF,  p-value: < 2.2e-16
> 
> I'm interested in values of Std. Error of coefficients...
> 
> thank you very much
> 
> Best regards
> 	Manuele
> 
> --
> Manuele Pesenti
> 	manuele op inventati.org
> 	amicogodzilla op jabber.linux.it
> 	http://mpesenti.polito.it
> 
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